Sanjay Kumar Singh

7.4k citations
308 papers · 5.5k · h-index 41

Impact in

Papers in

Sanjay Kumar Singh

286 papers receiving 5.2k citations

Peers

Sanjay Kumar Singh
Comparison fields: 5 of 183
  • Computer Vision and Pattern Recognition 1.7k
  • Signal Processing 596
  • Statistics and Probability 394
  • Microbiology 233
  • Statistics, Probability and Uncertainty 235
Replace François Laviolette with:
François Laviolette Canada
José M. Benítez Spain
Asa Ben‐Hur United States
Alaa Tharwat Egypt
Yi‐Ping Phoebe Chen Australia
Yiqiang Chen China
Alok Sharma Australia
Sheng Li China
Xiaotong Shen United States
Min Wu China
Sanjay Kumar Singh relative to François Laviolette Canada François Laviolette's profile →
Citations per field
00.5×2×4×5.1×
François Laviolette · 1×
Citations per year

Countries citing papers authored by Sanjay Kumar Singh

Since Specialization
Citations

This map shows the geographic impact of Sanjay Kumar Singh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sanjay Kumar Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay Kumar Singh more than expected).

Fields of papers citing papers by Sanjay Kumar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanjay Kumar Singh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sanjay Kumar Singh. The network helps show where Sanjay Kumar Singh may publish in the future.

Co-authors

The 25 scholars most cited alongside Sanjay Kumar Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sanjay Kumar Singh Line = papers co-authored together Sanjay Kumar Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 308 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019196
2 2017157
3 2008148
4 2019142
5 2021137
6 2019128
7 2016127
8 2016126
9 2020125
10 2020110
11 2019108
12 2016107
13 201599
14 202192
15 201279
16 201677
17 201470
18 201665
19 201264
20 201657

About Sanjay Kumar Singh

Sanjay Kumar Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Molecular Biology and Information Systems, having authored 308 papers that have together received 5.5k indexed citations. Recurring topics across this work include Biometric Identification and Security (46 papers), Statistical Distribution Estimation and Applications (33 papers), Probabilistic and Robust Engineering Design (24 papers), User Authentication and Security Systems (24 papers), Face and Expression Recognition (22 papers), Food Supply Chain Traceability (22 papers), Advanced Steganography and Watermarking Techniques (21 papers) and Face recognition and analysis (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Signal Processing (596 citations), Statistics and Probability (394 citations), Microbiology (233 citations) and Statistics, Probability and Uncertainty (235 citations). Sanjay Kumar Singh has collaborated with scholars based in India, United States and Mexico. Frequent co-authors include Santosh Kumar, Sandeep S. Udmale, Durgesh Singh, Amit Kumar Singh, Abhinav Kumar, Shrikant Tiwari, Sonal Saxena, Sameer Shrivastava, Umesh Singh and Rishav Singh. Their work appears in journals such as Multimedia Tools and Applications, IEEE Sensors Journal, IEEE Journal of Biomedical and Health Informatics, Briefings in Bioinformatics and Scientific Reports.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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